US11409018B2 - System and method for monitoring a ballooning potential of a wellbore - Google Patents
System and method for monitoring a ballooning potential of a wellbore Download PDFInfo
- Publication number
- US11409018B2 US11409018B2 US16/346,083 US201816346083A US11409018B2 US 11409018 B2 US11409018 B2 US 11409018B2 US 201816346083 A US201816346083 A US 201816346083A US 11409018 B2 US11409018 B2 US 11409018B2
- Authority
- US
- United States
- Prior art keywords
- wellbore
- loss
- ballooning
- working fluid
- increase
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active, expires
Links
- 238000000034 method Methods 0.000 title claims abstract description 63
- 238000012544 monitoring process Methods 0.000 title description 9
- 239000012530 fluid Substances 0.000 claims abstract description 201
- 230000015572 biosynthetic process Effects 0.000 claims abstract description 129
- 230000004941 influx Effects 0.000 claims abstract description 47
- 230000000246 remedial effect Effects 0.000 claims abstract description 26
- 230000004044 response Effects 0.000 claims abstract description 18
- 229930195733 hydrocarbon Natural products 0.000 claims abstract description 5
- 150000002430 hydrocarbons Chemical class 0.000 claims abstract description 5
- 238000005553 drilling Methods 0.000 claims description 70
- 230000008569 process Effects 0.000 claims description 26
- 230000015654 memory Effects 0.000 claims description 16
- 238000005259 measurement Methods 0.000 claims description 15
- 230000009545 invasion Effects 0.000 claims description 13
- 238000003062 neural network model Methods 0.000 claims description 11
- 230000005251 gamma ray Effects 0.000 claims description 8
- 238000007789 sealing Methods 0.000 claims description 7
- 230000007423 decrease Effects 0.000 claims description 4
- 238000005755 formation reaction Methods 0.000 description 102
- 239000000203 mixture Substances 0.000 description 15
- 238000004519 manufacturing process Methods 0.000 description 9
- 238000012545 processing Methods 0.000 description 9
- 238000013459 approach Methods 0.000 description 4
- 238000005520 cutting process Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000000116 mitigating effect Effects 0.000 description 4
- 208000013201 Stress fracture Diseases 0.000 description 3
- 230000003213 activating effect Effects 0.000 description 3
- 239000000470 constituent Substances 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- 206010017076 Fracture Diseases 0.000 description 2
- 230000002411 adverse Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000003066 decision tree Methods 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000005086 pumping Methods 0.000 description 2
- 230000029058 respiratory gaseous exchange Effects 0.000 description 2
- 238000013179 statistical model Methods 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 235000019738 Limestone Nutrition 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 239000010459 dolomite Substances 0.000 description 1
- 229910000514 dolomite Inorganic materials 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 239000012535 impurity Substances 0.000 description 1
- 239000006028 limestone Substances 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000035515 penetration Effects 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 239000002002 slurry Substances 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 238000013519 translation Methods 0.000 description 1
- 238000011144 upstream manufacturing Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
- G01V3/18—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation specially adapted for well-logging
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B21/00—Methods or apparatus for flushing boreholes, e.g. by use of exhaust air from motor
- E21B21/08—Controlling or monitoring pressure or flow of drilling fluid, e.g. automatic filling of boreholes, automatic control of bottom pressure
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B41/00—Equipment or details not covered by groups E21B15/00 - E21B40/00
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
- E21B47/10—Locating fluid leaks, intrusions or movements
- E21B47/117—Detecting leaks, e.g. from tubing, by pressure testing
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
- E21B47/10—Locating fluid leaks, intrusions or movements
Definitions
- Ballooning potential is repeatedly updated during operation of the wellbore system.
Landscapes
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Geology (AREA)
- Mining & Mineral Resources (AREA)
- Physics & Mathematics (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Environmental & Geological Engineering (AREA)
- Fluid Mechanics (AREA)
- Geochemistry & Mineralogy (AREA)
- Geophysics (AREA)
- Remote Sensing (AREA)
- General Physics & Mathematics (AREA)
- Mechanical Engineering (AREA)
- Geophysics And Detection Of Objects (AREA)
- Separation By Low-Temperature Treatments (AREA)
Abstract
A method for operating a wellbore system for producing hydrocarbons from a wellbore in an underground formation in which a working fluid is circulated through the wellbore during operation. The method includes detecting a loss of the working fluid, allocating the loss to one or more layers of the underground formation, determining a ballooning potential of the wellbore based on the allocated loss and a lithology of the one or more layers of the underground formation, detecting an increase in a return flow of the working fluid from the wellbore, and comparing the increase in the return flow to the ballooning potential of the wellbore to determine whether the increase in the return flow is due to an influx of formation fluid into the wellbore. Remedial action may be taken in response to a determination that the increase in the return flow is due to an influx of formation fluid.
Description
This application is a U.S. national stage patent application of International Patent Application No. PCT/US2018/033512, filed on May 18, 2018, the benefit of which is claimed and the disclosure of which is incorporated herein by reference in its entirety.
Embodiments of the present disclosure relate generally to wellbore operations and more specifically to monitoring a ballooning potential of a wellbore during wellbore operations.
In many wellbore systems, working fluids, such as drilling fluids, are circulated through a wellbore for a variety of purposes. For example, drilling fluids are used to lubricate and/or cool the drilling bit of the wellbore system during drilling operations. In many applications, working fluids may fill up the wellbore to prevent formation fluids from entering the wellbore. Other purposes of working fluids include carrying debris to the surface, which may be analyzed to obtain an understanding of the downhole environment.
At times, the return flow of working fluids to the surface of the wellbore system may increase unexpectedly. In some cases, the increase in the return flow may indicate an influx of formation fluids into the wellbore. For example, an influx may occur when the well is underbalanced (e.g., the working fluid is less dense than the surrounding formation fluid), creating a pressure gradient that allows formation fluids to enter the wellbore. The uncontrolled influx of formation fluids into the wellbore can result in serious safety breaches and/or equipment damage. Consequently, various mechanisms are used to mitigate the risks associated with the influx of formation fluids, such as blowout preventers. However, activating such mechanisms (e.g., sealing a wellbore with a blowout preventer and/or increasing the density of the working fluids) may have adverse consequences on the operational efficiency of a wellbore system, perhaps even resulting in permanent closure of the well. Accordingly, analysts and/or operators of the wellbore system may be asked to interpret a detected increase in the return flow to determine whether potentially costly mitigation efforts are justified. But the interpretation often comes down to a human judgment call, which is prone to accuracy and/or repeatability issues.
Accordingly, it is desirable to provide a wellbore: system that implements improved techniques for interpreting an increase the return flow of drilling fluids from a wellbore.
Various embodiments of the present disclosure will be understood more fully from the detailed description given below and from the accompanying drawings of various embodiments of the disclosure. In the drawings, like reference numbers may indicate identical or functionally similar elements.
The disclosure may repeat reference numerals and/or letters in the various examples or Figures. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. Further, spatially relative terms, such as beneath, below, lower, above, upper, uphole, downhole, upstream, downstream, and the like, may be used herein for ease of description to describe one element or feature's relationship to another element(s) or feature(s) as illustrated, the upward direction being toward the top of the corresponding figure and the downward direction being toward the bottom of the corresponding figure, the uphole direction being toward the surface of the wellbore, the downhole direction being toward the toe of the wellbore. Unless otherwise stated, the spatially relative terms are intended to encompass different orientations of the apparatus in use or operation in addition to the orientation depicted in the Figures. For example, if an apparatus in the Figures is turned over, elements described as being “below” or “beneath” other elements or features would then be oriented “above” the other elements or features. Thus, the exemplary term “below” can encompass both an orientation of above and below. The apparatus may be otherwise oriented (rotated 90 degrees or at other orientations) and the spatially relative descriptors used herein may likewise be interpreted accordingly.
Moreover even though a Figure may depict a horizontal wellbore or a vertical wellbore, unless indicated otherwise, it should be understood by those skilled in the art that the apparatus according to the present disclosure is equally well suited for use in wellbores having other orientations including vertical wellbores, slanted wellbores, multilateral wellbores or the like. Likewise, unless otherwise noted, even though a Figure may depict an onshore operation, it should be understood by those skilled in the art that the apparatus according to the present disclosure is equally well suited for use in offshore operations and vice-versa. Further, unless otherwise noted, even though a Figure may depict a cased hole, it should be understood by those skilled in the art that the apparatus according to the present disclosure is equally well suited for use in open hole operations.
Generally, in one or more embodiments, a wellbore system is provided wherein a ballooning potential of the wellbore is monitored. Ballooning generally occurs when working fluids circulating through a wellbore are temporarily lost to the surrounding formation, and are later returned to the wellbore from the formation. When the lost fluid returns to the wellbore, an increase in the return flow of the working fluid to the surface results. While ballooning can result in an increase in return flow that is generally benign, the increase in return flow may be confused for an influx of formation fluid (as opposed to drilling fluid) into the wellbore, which influx could impact the operational efficiency of the wellbore system and/or may require closure of the wellbore system. Accordingly, the wellbore system of the present disclosure is adapted to monitor the ballooning potential of the wellbore to better distinguish between ballooning events and the influx of formation fluid, resulting in higher operating efficiency and/or reduced instances of unnecessary closures.
Turning to FIG. 1 , shown is an elevation view in partial cross-section of a wellbore system 10 for drilling and/or production. In some embodiments, wellbore system 10 may be utilized to produce hydrocarbons from a wellbore 12 extending through various earth strata in a formation 14 located below the earth's surface 16 (e.g., an underground formation containing extractable hydrocarbons). Wellbore 12 may be formed of a single or multiple bores extending into formation 14, and disposed in any orientation (e.g., horizontal, vertical, slanted, multilateral, and/or the like).
Wellbore system 10 includes a drilling rig 20 (which may also be referred to as a derrick). Drilling rig 20 may include a hoisting apparatus 22, a travel block 24, and a swivel 26 for raising and lowering a drilling string 30 and/or other types of conveyance vehicles, which may include casing, drill pipe, coiled tubing, production tubing, other types of pipe or tubing strings, wireline, slickline, and the like. In FIG. 1 , drilling string 30 is a substantially tubular, axially extending drill string formed of a plurality of drill pipe joints coupled together end-to-end. Drilling rig 20 may include a kelly 32, a rotary table 34, and other equipment associated with rotation and/or translation of drilling string 30 within wellbore 12. For some applications, drilling rig 20 may also include a top drive unit 36.
Drilling rig 20 may be located proximate to a wellhead 40 as shown in FIG. 1 , or spaced apart from wellhead 40, such as in the case of an offshore drilling systems. One or more pressure control devices 42, such as blowout preventers (BOPs) and other equipment associated with drilling or producing a wellbore may also be provided at wellhead 40 or elsewhere in wellbore system 10.
Although wellbore system 10 of FIG. 1 is illustrated as being a land-based system, wellbore system 10 of FIG. 1 may be deployed offshore.
A working fluid vessel 52, such as a storage tank, a pit (e.g., a mud pit), container and/or the like, may supply and/or collect a working fluid 54. During wellbore operations, working fluid 54 may be circulated through wellbore 12, e.g., by being pumped into the upper end of drilling string 30, flowing downhole through the interior of drilling string 30, exiting drilling string 30 at the bottom of wellbore 12, and returning uphole through wellbore 12 along the exterior of drilling string 30. Working fluid vessel 52 may be a source to supply any fluid utilized in wellbore operations, including without limitation, drilling fluid (or “drilling mud”), cementious slurry, acidizing fluid, liquid water, steam or some other type of fluid.
Wellbore system 10 may include subsurface equipment 56 disposed in wellbore 12, such as, for example, a drill bit and bottom hole assembly (BHA), a completion assembly or some other type of wellbore tool.
Where subsurface equipment 56 is used for drilling operations, the lower end of drilling string 30 may include and/or be coupled to a bottom hole assembly 64, which may carry at a distal end a drill bit 66. During drilling operations, weight-on-bit (WOB) is applied as drill bit 66 is rotated, thereby enabling drill bit 66 to engage formation 14 and drill wellbore 12 along a predetermined path toward a target zone. In general, the torque to rotate drill bit 66 may be supplied by drilling rig 20 (e.g., from top drive unit 36 and/or rotary table 34) and transmitted downhole via drilling string 30, and/or may be supplied by a downhole mud motor 68 of bottom hole assembly 64. Working fluid 54 is pumped to the upper end of drilling string 30, flows through a longitudinal interior 70 of drilling string 30 through bottom hole assembly 64, and exits from nozzles formed in drill bit 66. At a bottom end 72 of wellbore 12, working fluid 54 may mix with formation cuttings, formation fluids, and other downhole fluids and debris. The resulting fluid mixture may then flow upwardly through annulus 62 to return formation cuttings and other downhole debris to the surface 16.
Turning to FIGS. 2A-2C , shown are elevation views in partial cross-section of a wellbore system 200 for drilling and/or production according to some embodiments. In some embodiments consistent with FIG. 1 , wellbore system 200 may generally correspond to wellbore system 10. Consistent with such embodiments, wellbore system 200 may be utilized to produce hydrocarbons from a wellbore 12 extending through various earth strata in a formation 14 (e.g., an oil and/or gas formation) located below the earth's surface 16. As depicted in FIG. 2 , formation 14 may have a plurality of geologic layers 18 a-n through which wellbore 12 extends. Each of layers 18 a-n may generally have different lithological features (e.g., one of layers 18 a-n may correspond to a shale formation, another layer may correspond to a sandstone formation, etc.).
As depicted in FIGS. 2A and 2B , some of working fluid 242 with wellbore 12 may temporarily enter formation 14 rather than circulating back to working fluid vessel 240 through annulus 62. At a later time, this portion of working fluid 242 may flow back into wellbore 12 from formation 14, a phenomena is referred to as “ballooning.” FIGS. 2A and 2B depict ballooning volumes 244 a-n corresponding to working fluid 242 flowing into and out of various layers 18 a-n of formation 14. The amount of ballooning volumes 244 a-n may depend on a variety of factors, such as the composition of working fluid 242, the lithology and/or geology of layers 18 a-n, the porosity of layers 18 a-n, wellbore breathing (e.g., changes to the shape of wellbore 12 over time), the presence of fractures and/or microfractures, and/or the like.
As depicted in FIG. 2C , ballooning is to be distinguished from influx of formation fluid 246 (e.g., water, oil, and/or gas from formation 14) into wellbore 12. Influx of formation fluid 246 may occur when wellbore 12 is underbalanced, i.e., the density (and/or weight) of working fluid 242 is less than the density of formation fluid 246. Left unchecked, the influx of formation fluid 246 may result in a well control event (e.g., an uncontrolled release of fluids from wellbore 12), such as a blowout, kick, and/or the like.
Whereas ballooning is generally a benign occurrence from an operational standpoint, the influx of formation fluid 246 into wellbore 12 may cause equipment damage and down time. Accordingly, efforts to mitigate and/or control the influx of formation fluid 246 may significantly impact the operation of wellbore system 200. Thus, wellbore system 200 may include a composition controller 262 that controls the composition of working fluid 242, including the density of working fluid 242. In response to detecting an influx of formation fluid 246, composition controller 262 may increase the density of working fluid 242 to restore equilibrium between working fluid 242 and formation fluid 246. Similarly, wellbore system 200 may include a blowout preventer 264 that seals wellbore 12 in response to a well control event to prevent or mitigate the uncontrolled release of fluid from wellbore 12.
Efforts to mitigate and/or control the influx of formation fluid 246 into wellbore 12 may likewise have adverse impacts on the operation and/or efficiency of wellbore system 200. For example, increasing the density of working fluid 242 may cause or contribute to differential sticking, caving of wellbore 12 due to overbalance (which occurs when the density of working fluid 242 is greater than the density of formation fluid 246), a decrease in the rate of penetration (ROP) of drilling bit 230, an increase in operating costs (e.g., energy costs associated with processing and pumping working fluid 242), and/or the like. Similarly, sealing wellbore 12 with blowout preventer 264 may result in temporary or permanent closure of wellbore 12, a shut in well, and/or the like. In the case of a permanent well closure, all or most of the investment in wellbore system 200 may be lost, and the potential production of the well may be unrealized.
Thus, while mitigation efforts may be required in response to a detected influx of formation fluid 246, ballooning generally does not require such mitigation efforts and/or their associate costs. Accordingly, it is desirable to accurately distinguish an influx of formation fluid 246 into wellbore 12 from ballooning to avoid unnecessary and costly mitigation measures during a ballooning event.
However, it is typically difficult to distinguish ballooning from the influx of formation fluid 246 (e.g., influx at the early stages of a well control event). For example, both phenomena generally result in an increase in the return flow of fluid through wellbore 12, causing a corresponding increase in the volume of fluid in working fluid vessel 240. In existing wellbore systems, a human operator or analyst typically determines whether an observed increase in the flow of returning fluid is caused by influx or ballooning. The determination is often based on the intuition and/or experience of the human operator and therefore generally lacks repeatability and/or consistency (e.g., the determination is not based on a rule-based decision-making process). Given the uncertainty and the stakes involved, many human operators tend to err on the side of caution, identifying an increase in return flow as the result of influx when it may actually be the result of ballooning. The tendency to overcompensate may result in overbalanced wells (e.g., denser working fluid 242 than is needed to balance formation fluid 246), unnecessary well shut-ins and/or closures, and/or the like.
To address these challenges, wellbore system 200 may include a controller 270 for monitoring the ballooning potential of wellbore 12 (i.e., the total volume of ballooning volumes 244 a-n). The ballooning potential corresponds to the amount of working fluid 242 that has temporarily escaped into formation 14 (and/or its constituent layers 18 a-n) and has the potential to be returned to wellbore 12 at a later time. In response to detecting an increase in the return flow of working fluid 242, and based on the determined ballooning potential of wellbore 12, controller 270 may determine whether the increase in the return flow is caused by ballooning or the influx of formation fluid 246. Controller 270 may further communicate with processing system 250, composition controller 262, and/or blowout preventer 264 to adjust the composition of working fluid 242, seal wellbore 12, and/or the like.
In some embodiments, controller 270 may determine the ballooning potential of wellbore 12 using a rule-based approach that is more repeatable, accurate, and/or reliable than existing, intuition-based approaches performed by human analysts. Consequently, controller 270 may reduce the likelihood that ballooning events are mistaken for influx events, resulting in more efficient operation of wellbore system 200 (e.g., a lighter composition of working fluid 242 and/or fewer unnecessary shut-ins). Similarly, controller 270 may reduce the likelihood that influx events are mistaken for ballooning events, resulting in more efficient operation of wellbore system 200.
As depicted in FIGS. 2A-2C , controller 270 includes a processor 272 (e.g., one or more hardware processors). Generally, processor 272 may include one or more general purpose central processing units (CPUs). Additionally or alternately, processor 272 may include at least one processor that provides accelerated performance when evaluating neural network models. For example, processor 272 may include a graphics processing unit (GPU), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), a tensor processing unit (TPU), a digital signal processor (DSP), a single-instruction multiple-data (SIMD) processor, and/or the like. Generally, such processors may accelerate various computing tasks associated with evaluating neural network models (e.g., training, prediction, preprocessing, and/or the like) by an order of magnitude or more in comparison to a general purpose CPU.
In some embodiments, an operator 276 (e.g., one or more human operators) may interact with controller 270. For example, operator 276 may receive and/or view data from controller 270 and/or may provide instructions to controller 270. Consistent with such embodiments, controller 270 may interact with operator 276 via a display console, an input/output device (e.g., buttons, touch pad, touchscreen, mouse, joystick, etc.), a user interface, and/or the like.
In some embodiments, controller 270 may determine the ballooning potential of wellbore 12 based on characteristics of wellbore 12, formation 14 (and/or constituent layers 18 a-n), wellbore system 200, and/or the like. Consistent with such embodiments, wellbore system 200 may include one or more sensors 280 a-m that provide sensor data to controller 270. Sensors 280 a-m may correspond to various types of monitoring, logging, and/or measurement devices and may be disposed in various locations. For example, sensors 280 a-m may be positioned in and/or near wellhead (as illustrated by sensor 280 a), in downhole locations (e.g., on drilling bit 230 and/or along drilling string 220, as illustrated by sensor 280 b), in and/or near working fluid vessel 240 (as illustrated by sensor 280 m), and/or the like. The sensor data provided by sensors 280 a-m may correspond to measurement-while-drilling (MWD) data, logging-while-drilling (LWD) data, gamma ray logging data, resistivity data (e.g., deep, medium, and/or shallow resistivity data), acoustic and/or sonic logging data, working fluid composition data (e.g., mud logging data that identifies the composition of the return flow of working fluid 242 from wellbore 12), working fluid volume data (e.g., data that identifies the volume of working fluid 242 stored in working fluid vessel 240 and/or the return flow of working fluid 242 from wellbore 12), and/or the like. In some embodiments, controller 270 may receive data from sensors 280 a-n in real-time (e.g., during drilling and/or production operations of wellbore system 200), during formation evaluation (e.g., on logging runs), and/or at various other times during the planning, operation, and/or operation of wellbore system 200. In some embodiments, controller 270 may receive various other information associated with wellbore 12, formation 14, and/or wellbore system 200, such as survey data (e.g., reports identifying the lithology and/or geology of formation 14), quantitative and/or qualitative data provided by human observers, and/or the like.
Turning to FIG. 3 , shown is a block diagram of a method 300 for monitoring the ballooning potential of a wellbore according to some embodiments. In some embodiments, method 300 may be performed during operation of a wellbore system, such as wellbore system 200. Consistent with such embodiments, method 300 may be performed using a controller, such as controller 270. In some embodiments, method 300 may be performed repeatedly (e.g., at periodic intervals) during drilling and/or wellbore operation to maintain an up-to-date estimate of the ballooning potential of the wellbore. Additionally or alternately, method 300 may be performed during a post mortem assessment of a wellbore, e.g., to determine the ballooning potential of a shut in well to evaluate whether the well closure was justified.
At a process 310, a loss of working fluid, such as working fluid 242, is detected. For example, the loss of working fluid may be determined based on sensor data (e.g., monitoring and/or sensor data associated with processing system 250 and/or sensors 280 a-m). In some embodiments, the loss of working fluid may be detected during circulation of the working fluid (e.g., while drilling is occurring and working fluid is being pumped to the drilling bit). In particular, the loss of working fluid may be detected when the return flow rate of working fluid from the wellbore is less than that of the working fluid being pumped down the wellbore (or the return flow rate drops below a predetermined threshold), and/or when the volume of working fluid stored in the working fluid vessel, such as working fluid vessel 240, decreases or drops below a predetermined threshold.
At a process 320, the detected loss is allocated. In particular, the loss may be allocated to the wellbore itself (the capacity of which may vary due to variation in the shape of the wellbore over time), to fluid invasion of the working fluid into the formation (and/or constituent layers thereof, such as layers 218 a-n), and/or the like. In some embodiments, the volume of loss allocated to the wellbore may be determined according to the following equation (scaling and/or unit conversion factors omitted for clarity):
V wellbore =πr wellbore 2 h wellbore (Eq. 1)
where Vwellbore denotes the volume of loss allocated to the wellbore, rwellbore denotes the radius of the wellbore, and hwellbore denotes the height of the wellbore. When wellbore deformation is detected (or the shape of the wellbore otherwise changes), Equation 1 may be modified as follows:
ΔV wellbore =πh wellbore[(r wellbore +Δr)2 −r wellbore] (Eq. 2)
where ΔVwellbore denotes the change in volume of loss allocated to the wellbore, and Or denotes the change in radius of the wellbore.
V wellbore =πr wellbore 2 h wellbore (Eq. 1)
where Vwellbore denotes the volume of loss allocated to the wellbore, rwellbore denotes the radius of the wellbore, and hwellbore denotes the height of the wellbore. When wellbore deformation is detected (or the shape of the wellbore otherwise changes), Equation 1 may be modified as follows:
ΔV wellbore =πh wellbore[(r wellbore +Δr)2 −r wellbore] (Eq. 2)
where ΔVwellbore denotes the change in volume of loss allocated to the wellbore, and Or denotes the change in radius of the wellbore.
The remaining loss of working fluid may be allocated to the formation and/or to a particular layer of the formation. In particular, the loss may be allocated to a layer based on the porosity of the layer, where the porosity may be determined based on the lithology of the layer. When loss is allocated to one or more layers of the underground formation, a corresponding radius of invasion (i.e., a distance into the formation that is occupied by the lost fluid, sometimes referred to as a “thief zone”) may be determined. In some embodiments, the radius of invasion of a given layer of the formation may be determined according to the following equation (scaling and/or unit conversion factors omitted for clarity):
where rlayer denotes the radius of invasion, Vlayer denotes the volume of loss allocated to the layer, hlayer denotes the height of the layer, and Player denotes the porosity of the layer. In some embodiments, the estimate for the radius of invasion obtained by Eq. 3 may be matched against sensor data (e.g., resistivity readings and/or gamma ray readings) to verify the allocation of the loss. To the extent that the sensor data suggests a different radius of invasion than Equation 3, the loss may be allocated to a different layer of the formation to obtain a better fit. In this manner, the loss may be allocated iteratively among the layers of the formation.
In some embodiments, the loss may be allocated using a statistical model, a rule-based model (e.g., a decision tree), a neural network model, and/or the like. For example, a neural network model may be trained using a supervised learning process based on one or more of lithology data of the wellbore being drilled, sensor data (e.g., resistivity data and/or gamma ray data, and/or other sensor data) of the wellbore being drilled, lithology data of other wellbores previously drilled, sensor data from other wellbores previously drilled to predict one or more formation layers associated with the wellbore being drilled and to which a loss should be allocated.
At a process 330, an undetected loss of working fluid may be estimated. In some embodiments, the sensitivity of sensors and/or other measurement approaches used to detect working fluid losses at process 310 may be such that some working fluid losses are undetected. For example, small amounts of working fluid may be lost to microfractures in the formation and may not be detected at process 310. In some embodiments, the volume of undetected working fluid loss may be estimated based on resistivity data. For example, the resistivity data may be used to estimate the width of planar fractures and/or microfractures in the formation, the radius of invasion into a porous layer of the formation, and/or the like. In some embodiments, deep and shallow resistivity measurements may be received. When the deep and shallow resistivity measurements converge, the resistivity data may be used to estimate the undetected loss of working fluid. When the deep and shallow resistivity measurements do not converge, other approaches may be used to estimate the undetected working fluid loss, such as receiving an estimate from an operator (e.g., operator 276). Like the detected working fluid loss from process 310, the undetected loss may be allocated among various layers of the formation. In some embodiments, the undetected loss may be estimated and/or allocated using a statistical model, a rule-based model (e.g., a decision tree), a neural network model, and/or the like. For example, a neural network model may be trained using a supervised learning process to predict a volume of the undetected loss based on input features such as sensor data, lithology data, and/or the like. Similarly, a neural network model may be trained using a supervised learning process to predict a formation layer to which the undetected loss should be allocated based on input features such as sensor data, lithology data, and/or the like.
At a process 340, a ballooning potential is determined based on the allocation of detected and undetected working fluid losses from processes 310-330. That is, based on the allocation of working fluid losses and estimate of undetected losses, the volume of working fluid that has the potential to be returned to the wellbore from the formation at a later time is determined. In some embodiments, the ballooning potential may be based on the lithology of the formation layers in which working fluid losses are allocated. For example, formation layers that are elastic and/or brittle (e.g., shale formations) may have the potential to return a large portion of lost working fluids to the wellbore. Other types of formation layers (e.g., limestone, dolomite, etc.) may return a smaller portion of the lost working fluids allocated to such layers. Working fluid losses allocated to the wellbore and/or to wellbore deformations may also be included in the ballooning potential, including working fluid losses allocated to wellbore breathing.
It is to be understood that FIG. 3 is illustrative, and that various alternatives are possible. For example, an operator, such as operator 376, may be responsible for estimating and/or allocating working fluid loss. To illustrate, method 300 may include a process of providing a request to allocate lost working fluid to the operator (e.g., via a user interface of the controller) in response to detecting a loss of working fluid at process 310. Method 300 may then include a process of receiving an allocation of the loss of working fluid from the operator (e.g., via the user interface of the controller) to one or more formation layers. Additionally or alternately, method 300 may include a process of receiving an estimate and/or allocation of an undetected loss of working fluid from the operator. In either case, method 300 may then proceed to process 340 for determining and/or updating the ballooning potential based on the received estimate and/or allocation of loss provided by the operator.
Turning to FIG. 4 , shown is a block diagram of a method 400 for operating a wellbore system, such as wellbore system 200, according to some embodiments. In some embodiments consistent with FIGS. 1-3 , method 400 may be performed using a controller, such as controller 270.
At a process 410, an increase in the return flow of working fluid, such as working fluid 242, from the wellbore is detected. In some embodiments, the increase in the return flow may be detected based on sensor and/or monitoring data, e.g., data received from processing system 250 and/or sensors 280 a-m. For example, an increase in the stored volume of the working fluid in a working fluid source, such as working fluid vessel 240, may be detected.
At a process 420, the increase in the return flow is compared to a ballooning potential of the wellbore to determine whether the increase in the return flow is due to ballooning or an influx of formation fluid. In some embodiments consistent with FIG. 3 , the ballooning potential of the wellbore may be determined using method 300. When the increase in the return flow exceeds the ballooning potential of the wellbore, it may be determined that the increase in return flow is due to influx of formation fluid into the wellbore. In this case, method 400 may proceed to a process 430 for taking a remedial action in response to the influx. Such remedial action may include increasing the density of the drilling fluid, changing the drilling, stopping drilling, activating the blowout preventer, activating other valves, changing a pumping parameter, and the like. When the increase in the return flow is less than the ballooning potential of the wellbore, it may be determined that the increase in return flow is due to ballooning. In this case, method 400 may proceed to a process 440 in which no remedial action is taken and/or in which monitoring of the return flow continues to ensure that the observed return flow remains consistent with ballooning. For example, process 440 may include notifying the operator of the wellbore system that the increase in the return flow is due to ballooning.
At a process 430, a remedial action is performed in response to determining that the increase is due to the influx of formation fluid. For example, the remedial action may be intended to prevent and/or mitigate the risk of a well control event, such as a blowout. In some embodiments, the remedial action may include providing a signal to a composition controller, such as composition controller 262, to cause the composition controller to increase the density of the working fluid. In some embodiments, the remedial action may include providing a signal to a blowout preventer, such as blowout preventer 264, to cause the blowout preventer to seal the wellbore. In some embodiments, the remedial action may include providing an alert to an operator, such as operator 276, indicating that an influx is detected to allow the operator to take appropriate action.
Thus method for operating a wellbore system having a working fluid circulating therethrough has been described. The method may include detecting a loss of the working fluid; allocating the loss to one or more layers of the underground formation; determining a ballooning potential of the wellbore based on the allocated loss and a lithology of the one or more layers of the underground formation; detecting an increase in a return flow of the working fluid from the wellbore; comparing the increase in the return flow to the ballooning potential of the wellbore to determine whether the increase in the return flow is due to an influx of formation fluid into the wellbore; and taking a remedial action in response to determining that the increase in the return flow is due to the influx of the formation fluid. In other embodiments, the method may include introducing a working fluid into a wellbore; recovering working fluid from a wellbore; detecting a loss of the working fluid; allocating the loss to one or more layers of the underground formation; determining a ballooning potential of the wellbore based on the allocated loss and a lithology of the one or more layers of the underground formation; detecting an increase in a return flow of the working fluid from the wellbore; and comparing the increase in the return flow to the ballooning potential of the wellbore to determine whether the increase in the return flow is due to an influx of formation fluid into the wellbore. Still yet other embodiments of the method may include detecting a loss of working fluid introduced into a wellbore; allocating the loss to one or more layers of the underground formation; determining a ballooning potential of the wellbore based on the allocated loss and a lithology of the one or more layers of the underground formation; detecting an increase in a return flow of the working fluid from the wellbore; and comparing the increase in the return flow to the ballooning potential of the wellbore to determine whether the increase in the return flow is due to an influx of formation fluid into the wellbore.
Likewise, a wellbore system for drilling a wellbore in an underground formation has been described. The wellbore system may include a non-transitory memory; and one or more hardware processors coupled to the non-transitory memory and configured to execute instructions to cause the wellbore system to perform operations, which operations may include detecting a loss of a drilling fluid of the wellbore system, the drilling fluid circulating through the wellbore during drilling operation; allocating the loss to one or more layers of the underground formation; determining a ballooning potential of the wellbore based on the allocated loss, the ballooning potential corresponding to a potential for the allocated loss to be returned to the wellbore from the underground formation; detecting an increase in a return flow of the drilling fluid from the wellbore; and comparing the increase in the return flow to the ballooning potential to determine whether the increase in the return flow is due to an influx of formation fluid into the wellbore. Similarly, a non-transitory machine-readable medium having stored thereon machine-readable instructions executable to cause a wellbore system to perform operations is provided. The operations may include receiving, from an operator of the wellbore system, an estimated loss of a working fluid of the wellbore system, the working fluid being circulated through a wellbore during operation of the wellbore system; receiving, from the operator, an allocation of the estimated loss to one or more layers of an underground formation through which the wellbore extends; determining a ballooning potential of the wellbore based on the allocation of the estimated loss, the ballooning potential corresponding to a potential for the estimated loss to be returned to the wellbore from the underground formation; detecting an increase in a return flow of the working fluid from the wellbore; comparing the increase in the return flow to the ballooning potential to determine whether the increase in the return flow is due to ballooning; and in response to determining that the increase in the return flow is due to ballooning, notifying the operator that the increase in the return flow is due to ballooning.
For any one of the forgoing embodiments, one or more of the following steps and elements may be included, alone or in combination with other steps and elements:
Adjusting the introduction of working fluid into the wellbore based on the determination as to whether the increase in the return flow is due to an influx of formation fluid into the wellbore.
Adjusting the introduction of working fluid into the wellbore based on the determination as to whether the increase in the return flow is due to an influx of formation fluid into the wellbore, wherein the adjustment comprises increasing the density of the working fluid introduced into the wellbore.
Taking a remedial action in response to determining that the increase in the return flow is due to the influx of the formation fluid.
The loss is detected utilizing sensors deployed in the wellbore.
The loss is detected based on the recovered working fluid.
Introducing a working fluid into a wellbore; and recovering working fluid from a wellbore;
Taking a remedial action in response to determining that the increase in the return flow is due to the influx of the formation fluid.
Taking a remedial action in response to determining that the increase in the return flow is due to the influx of the formation fluid, wherein the remedial action is adjusting the introduction of working fluid into the wellbore based on the determination as to whether the increase in the return flow is due to an influx of formation fluid into the wellbore.
Taking a remedial action in response to determining that the increase in the return flow is due to the influx of the formation fluid, wherein the remedial action is operating a blowout preventer to seal the wellbore.
The loss of the working fluid is detected based on a decrease in a volume of the working fluid at a working fluid source.
The loss is allocated to the one or more layers of the underground formation based on an estimated radius of invasion about the wellbore of the working fluid into the one or more layers of the underground formation.
The estimated radius of invasion is based on a porosity of the one or more layers of the underground formation.
The loss is allocated to the one or more layers of the underground formation using a neural network model, the neural network model being trained according to a supervised learning process to predict the one or more layers based on at least one of resistivity data or gamma ray data acquired from one or more sensors of the wellbore system.
The ballooning potential is determined based on an elasticity corresponding to the lithology of the one or more layers.
Estimating an undetected loss of working fluid and allocating the undetected loss to one or more second layers of the underground formation, wherein the ballooning potential of the wellbore is further based on the undetected loss and a lithology of the one or more second layers of the underground formation.
The undetected loss is estimated based on resistivity data when a deep resistivity measurement and a shallow resistivity measurement converge.
The remedial action includes increasing a density of the working fluid.
The remedial action includes sealing the wellbore.
Ballooning potential is repeatedly updated during operation of the wellbore system.
The loss is allocated based on a porosity of the one or more layers of the underground formation.
The loss is allocated based on at least one of resistivity data or gamma ray data acquired from one or more sensors of the wellbore system.
The ballooning potential is determined based on an elasticity of the one or more layers.
The remedial action is selected from the group consisting of increasing a density of the drilling fluid or sealing the wellbore.
The estimated loss corresponds to an estimate of an undetected loss of working fluid.
The increase in the return flow is determined to be due to ballooning when the increase in the return flow is less than the ballooning potential.
Although illustrative embodiments have been shown and described, a wide range of modifications, changes and substitutions are contemplated in the foregoing disclosure and in some instances, some features of the embodiments may be employed without a corresponding use of other features. One of ordinary skill in the art would recognize many variations, alternatives, and modifications. Thus, the scope of the present application should be limited only by the following claims, and it is appropriate that the claims be construed broadly and in a manner consistent with the scope of the embodiments disclosed herein.
Claims (20)
1. A computer-implemented method for operating a wellbore system for producing hydrocarbons from a wellbore in an underground formation, the wellbore system including a working fluid that circulates through the wellbore during operation, the method comprising:
detecting a loss of working fluid introduced into a wellbore;
estimating a radius of invasion about the wellbore of the working fluid into one or more layers of the underground formation;
allocating the loss to the one or more layers of the underground formation, based on the estimated radius of invasion;
determining a ballooning potential of the wellbore based on the allocated loss and a lithology of the one or more layers of the underground formation;
detecting an increase in a return flow of the working fluid from the wellbore;
comparing the increase in the return flow to the ballooning potential of the wellbore to determine whether the increase in the return flow is due to an influx of formation fluid into the wellbore; and
taking a remedial action in response to determining that the increase in the return flow is due to the influx of the formation fluid.
2. The method of claim 1 , wherein the loss of the working fluid is detected based on a decrease in a volume of the working fluid at a working fluid source.
3. The method of claim 1 , wherein the estimated radius of invasion is matched against at least one of resistivity data or gamma ray data acquired from one or more sensors of the wellbore system to verify the loss of the working fluid allocated to the one or more layers of the underground formation.
4. The method of claim 3 , wherein the estimated radius of invasion is based on a porosity of the one or more layers of the underground formation.
5. The method of claim 4 , wherein the loss is allocated to the one or more layers of the underground formation using a neural network model, the neural network model being trained according to a supervised learning process to predict the one or more layers based on at least one of the resistivity data or the gamma ray data acquired from the one or more sensors of the wellbore system.
6. The method of claim 4 , wherein the ballooning potential is determined based on an elasticity corresponding to the lithology of the one or more layers.
7. The method of claim 1 , further comprising estimating an undetected loss of working fluid and allocating the undetected loss to one or more second layers of the underground formation, wherein the ballooning potential of the wellbore is further based on the undetected loss and a lithology of the one or more second layers of the underground formation.
8. The method of claim 7 , wherein the undetected loss is estimated based on resistivity data when a deep resistivity measurement and a shallow resistivity measurement converge.
9. The method of claim 1 , wherein the remedial action includes increasing a density of the working fluid.
10. The method of claim 1 , wherein the remedial action includes sealing the wellbore.
11. The method of claim 1 , wherein the remedial action is at least one of increasing a density of the working fluid or sealing the wellbore.
12. The method of claim 1 , wherein the ballooning potential is repeatedly updated during operation of the wellbore system.
13. A wellbore system for drilling a wellbore in an underground formation, the wellbore system comprising:
a non-transitory memory; and
one or more hardware processors coupled to the non-transitory memory and configured to execute instructions to cause the wellbore system to perform operations comprising:
detecting a loss of a drilling fluid of the wellbore system, the drilling fluid circulating through the wellbore during a drilling operation;
determining a porosity of one or more layers of the underground formation;
allocating the loss to the one or more layers of the underground formation, based on the porosity of the one or more layers of the underground formation;
determining a ballooning potential of the wellbore based on the allocated loss, the ballooning potential corresponding to a potential for the allocated loss to be returned to the wellbore from the underground formation;
detecting an increase in a return flow of the drilling fluid from the wellbore;
comparing the increase in the return flow to the ballooning potential to determine whether the increase in the return flow is due to an influx of formation fluid into the wellbore; and
taking a remedial action in response to determining that the increase in the return flow is due to the influx of the formation fluid.
14. The wellbore system of claim 13 , wherein the porosity is determined based on a lithology of the one or more layers of the underground formation.
15. The wellbore system of claim 13 , wherein the loss is further allocated based on at least one of resistivity data or gamma ray data acquired from one or more sensors of the wellbore system.
16. The wellbore system of claim 13 , wherein the ballooning potential is determined based on an elasticity of the one or more layers.
17. The wellbore system of claim 13 , wherein the remedial action includes one or more of increasing a density of the drilling fluid or sealing the wellbore.
18. A non-transitory machine-readable medium having stored thereon machine-readable instructions executable to cause a wellbore system to perform operations comprising:
receiving, from an operator of the wellbore system, an estimated loss of a working fluid of the wellbore system, the working fluid being circulated through a wellbore during operation of the wellbore system, wherein the estimated loss corresponds to an estimate of an undetected loss of the working fluid;
receiving, from the operator, an allocation of the estimated loss to one or more layers of an underground formation through which the wellbore extends;
determining a ballooning potential of the wellbore based on the allocation of the estimated loss, the ballooning potential corresponding to a potential for the estimated loss to be returned to the wellbore from the underground formation;
detecting an increase in a return flow of the working fluid from the wellbore;
comparing the increase in the return flow to the ballooning potential to determine whether the increase in the return flow is due to ballooning;
in response to determining that the increase in the return flow is due to ballooning, notifying the operator that the increase in the return flow is due to ballooning; and
taking a remedial action in response to determining that the increase in the return flow is due to an influx of formation fluid into the wellbore and not due to ballooning.
19. The non-transitory machine-readable medium of claim 18 , wherein the undetected loss of the working fluid is estimated based on resistivity data when a deep resistivity measurement and a shallow resistivity measurement converge.
20. The non-transitory machine-readable medium of claim 18 , wherein the increase in the return flow is determined to be due to ballooning when the increase in the return flow is less than the ballooning potential.
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/US2018/033512 WO2019221757A1 (en) | 2018-05-18 | 2018-05-18 | System and method for monitoring a ballooning potential of a wellbore |
Publications (2)
Publication Number | Publication Date |
---|---|
US20210325562A1 US20210325562A1 (en) | 2021-10-21 |
US11409018B2 true US11409018B2 (en) | 2022-08-09 |
Family
ID=68540742
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US16/346,083 Active 2040-03-03 US11409018B2 (en) | 2018-05-18 | 2018-05-18 | System and method for monitoring a ballooning potential of a wellbore |
Country Status (3)
Country | Link |
---|---|
US (1) | US11409018B2 (en) |
AR (1) | AR114788A1 (en) |
WO (1) | WO2019221757A1 (en) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US12031401B2 (en) * | 2020-02-28 | 2024-07-09 | Schlumberger Technology Corporation | Systems and methods for controlling well fluid equipment |
US11365341B2 (en) * | 2020-05-29 | 2022-06-21 | Halliburton Energy Services, Inc. | Methods and compositions for mitigating fluid loss from well ballooning |
WO2024123722A1 (en) * | 2022-12-06 | 2024-06-13 | Schlumberger Technology Corporation | Use of machine learning techniques to enhance and accelerate inversion methods for the interpretation of deep directional resistivity measurements |
Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6234250B1 (en) * | 1999-07-23 | 2001-05-22 | Halliburton Energy Services, Inc. | Real time wellbore pit volume monitoring system and method |
US20090194330A1 (en) * | 2005-07-01 | 2009-08-06 | Gray Kenneth E | System, program products, and methods for controlling drilling fluid parameters |
US20130299242A1 (en) * | 2012-05-14 | 2013-11-14 | Intelliserv, Llc | System and method for identifying a ballooning zone |
US20130299241A1 (en) * | 2012-05-10 | 2013-11-14 | Bp Exploration Operating Company Limited | Prediction and diagnosis of lost circulation in wells |
US20140291023A1 (en) * | 2010-07-30 | 2014-10-02 | s Alston Edbury | Monitoring of drilling operations with flow and density measurement |
WO2016040310A1 (en) * | 2014-09-09 | 2016-03-17 | Board Of Regents, The University Of Texas System | Systems and methods for detection of an influx during drilling operations |
US20170081931A1 (en) * | 2015-09-23 | 2017-03-23 | Covar Applied Technologies, Inc. | Ballooning diagnostics |
WO2017059153A1 (en) | 2015-10-02 | 2017-04-06 | Schlumberger Technology Corporation | Detection of influx and loss of circulation |
US20170145822A1 (en) * | 2014-05-15 | 2017-05-25 | Halliburton Energy Services, Inc. | Monitoring of drilling operations using discretized fluid flows |
US20170314382A1 (en) * | 2015-09-01 | 2017-11-02 | Pason Systems Corp. | Method and system for detecting at least one of an influx event and a loss event during well drilling |
US20170328200A1 (en) * | 2016-05-11 | 2017-11-16 | Baker Hughes Incorporated | Estimation of formation properties based on fluid flowback measurements |
-
2018
- 2018-05-18 US US16/346,083 patent/US11409018B2/en active Active
- 2018-05-18 WO PCT/US2018/033512 patent/WO2019221757A1/en active Application Filing
-
2019
- 2019-04-16 AR ARP190101001A patent/AR114788A1/en unknown
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6234250B1 (en) * | 1999-07-23 | 2001-05-22 | Halliburton Energy Services, Inc. | Real time wellbore pit volume monitoring system and method |
US20090194330A1 (en) * | 2005-07-01 | 2009-08-06 | Gray Kenneth E | System, program products, and methods for controlling drilling fluid parameters |
US20140291023A1 (en) * | 2010-07-30 | 2014-10-02 | s Alston Edbury | Monitoring of drilling operations with flow and density measurement |
US20130299241A1 (en) * | 2012-05-10 | 2013-11-14 | Bp Exploration Operating Company Limited | Prediction and diagnosis of lost circulation in wells |
US20130299242A1 (en) * | 2012-05-14 | 2013-11-14 | Intelliserv, Llc | System and method for identifying a ballooning zone |
US20170145822A1 (en) * | 2014-05-15 | 2017-05-25 | Halliburton Energy Services, Inc. | Monitoring of drilling operations using discretized fluid flows |
WO2016040310A1 (en) * | 2014-09-09 | 2016-03-17 | Board Of Regents, The University Of Texas System | Systems and methods for detection of an influx during drilling operations |
US20170314382A1 (en) * | 2015-09-01 | 2017-11-02 | Pason Systems Corp. | Method and system for detecting at least one of an influx event and a loss event during well drilling |
US20170081931A1 (en) * | 2015-09-23 | 2017-03-23 | Covar Applied Technologies, Inc. | Ballooning diagnostics |
WO2017059153A1 (en) | 2015-10-02 | 2017-04-06 | Schlumberger Technology Corporation | Detection of influx and loss of circulation |
US20170328200A1 (en) * | 2016-05-11 | 2017-11-16 | Baker Hughes Incorporated | Estimation of formation properties based on fluid flowback measurements |
Non-Patent Citations (1)
Title |
---|
Korean Intellectual Property Office, International Search Report and Written Opinion, PCT/US2018/033512, dated Feb. 15, 2019, 11 pages, Korea. |
Also Published As
Publication number | Publication date |
---|---|
US20210325562A1 (en) | 2021-10-21 |
WO2019221757A1 (en) | 2019-11-21 |
AR114788A1 (en) | 2020-10-14 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US10677052B2 (en) | Real-time synthetic logging for optimization of drilling, steering, and stimulation | |
US10190407B2 (en) | Methods for evaluating inflow and outflow in a subterraean wellbore | |
US9765583B2 (en) | Interval density pressure management methods | |
US9228430B2 (en) | Methods for evaluating cuttings density while drilling | |
Li et al. | Pore-pressure and wellbore-stability prediction to increase drilling efficiency | |
US20130048380A1 (en) | Wellbore interval densities | |
US11255180B2 (en) | Robust early kick detection using real time drilling | |
US11409018B2 (en) | System and method for monitoring a ballooning potential of a wellbore | |
US11078786B2 (en) | Salt mobility assessment and review technique (smart) for exploratory wells | |
Rostami et al. | Dynamic Calibration of the Empirical Pore Pressure Estimation Methods Using MPD Data | |
EP3924599A1 (en) | Real-time synthetic logging for optimization of drilling, steering, and stimulation | |
US20210270998A1 (en) | Automated production history matching using bayesian optimization | |
Alsubaih et al. | Shale instability of deviated wellbores in southern Iraqi fields | |
US20170218728A1 (en) | Optimizing Running Operations | |
Tjemsland | Evaluation of measurement-while-drilling, telemetry methods and integration of control systems | |
US11499425B2 (en) | Borehole gravity analysis for reservoir management | |
US20240076946A1 (en) | Approaches to drilling fluid volume management | |
Ahmed Abdelaal et al. | Formation Pressure Prediction From Mechanical and Hydraulic Drilling Data Using Artificial Neural Networks | |
KAPPA | Production Logging | |
Amirov et al. | Reservoir Geomechanics, Geomechanical Evaluation and Wellbore Stability Handbook/Manual for Students | |
GB2494960A (en) | Calibrating a wellbore hydraulic model |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
FEPP | Fee payment procedure |
Free format text: ENTITY STATUS SET TO UNDISCOUNTED (ORIGINAL EVENT CODE: BIG.); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY |
|
STPP | Information on status: patent application and granting procedure in general |
Free format text: DOCKETED NEW CASE - READY FOR EXAMINATION |
|
STPP | Information on status: patent application and granting procedure in general |
Free format text: NON FINAL ACTION MAILED |
|
STPP | Information on status: patent application and granting procedure in general |
Free format text: RESPONSE TO NON-FINAL OFFICE ACTION ENTERED AND FORWARDED TO EXAMINER |
|
STPP | Information on status: patent application and granting procedure in general |
Free format text: NOTICE OF ALLOWANCE MAILED -- APPLICATION RECEIVED IN OFFICE OF PUBLICATIONS |
|
STCF | Information on status: patent grant |
Free format text: PATENTED CASE |